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cyrusstudio

Lukman Indro P

@cyrusstudio

AI Automation Engineer

Indonésie
Anglais, Indonésien
Certaines informations sont présentées en anglais.
À propos de moi
AI Automation Engineer and LLM Integration Specialist with 2+ years building production LLM-powered pipelines, agentic workflows, and API automation systems for business clients. Shipped products spanning n8n automation workflows, RAG pipelines, and multi-agent architectures — including a legal-tech contract audit system and a WhatsApp AI agent with measurable conversion impact. Co-founded an EdTech platform scaled to 50,000 users. Works independently in remote environments with clear system documentation for cross-functional handoff.... Plus d’infos

Compétences

c
cyrusstudio
Lukman Indro P
hors ligne • 

Voir mes services

Développement de chatbots d'IA
I will build a whatsapp ai agent with n8n and rag
De70 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Paisley_Fields

AI Automation Engineer & Fullstack Bubble Developer

Paisley Fields • Temps plein

Apr 2024 - Present • 2 yrs 3 mos

• Architected and shipped 7 production MVPs integrating n8n automation workflows, REST APIs, and webhooks across client business systems. • Designed an AI-powered contract audit pipeline using n8n and Gemini RAG, automating structured extraction from PDF/DOCX files and cross-referencing national labor law — reducing per-contract legal review time from 2 hours to minutes for a legal-tech client. • Built an agentic n8n workflow for WhatsApp-based HR automation, routing employee attendance and leave requests through the WhatsApp Business API and triggering scheduled report delivery. • Automated Upwork job discovery and LLM-generated proposal creation using n8n, Bubble, and Supabase — increasing proposal response rate by 30% and saving freelancers 2 hours of daily manual search time. • Orchestrated third-party API integrations including Stripe, Xendit, Google OAuth, Resend, and Mailersend via Bubble API Connector, enabling payments, authentication, and transactional notifications across 5+ products. • Reduced Workload Unit (WU) consumption by 70% through frontend architecture optimization, directly lowering monthly infrastructure costs.